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RECOMMENDATIONS
OF THE
SWGDAM AD HOC WORKING GROUP ON
GENOTYPING RESULTS REPORTED AS LIKELIHOOD RATIOS
Given the increasing usage and interest in probabilistic genotyping among forensic DNA testing
laboratories, the Scientific Working Group on DNA Analysis Methods (SWGDAM) empaneled
an Ad Hoc Working Group to inform on matters relating to the reporting of likelihood ratios
(LRs). This group was comprised of experts in the application of statistical principles to forensic
evidence and forensic practitioners with expertise in the interpretation of mixed DNA specimens
and probabilistic genotyping. Four paramount topics were evaluated by the Working Group
through review of relevant scientific literature, consideration of published and shared empirical
data from the testing of probabilistic genotyping systems, and discussion. These topics are as
follows:




Reporting likelihood ratio values to convey statistical weight, and a scale of
supplementary verbal qualifiers based on the magnitude of likelihood ratios;
Reporting a likelihood ratio that supports the defense proposition as an exclusion;
The potential for adventitious support for a false proposition; and
The conclusiveness of likelihood ratios relative to their magnitude.
These recommendations afford a framework to promote consistency among laboratories in
reporting the results of direct comparisons of evidentiary and reference profiles. These
recommendations apply to likelihood ratios derived from probabilistic and binary interpretation
approaches, as well as kinship analyses. They provide guidance ad interim as SWGDAM further
develops its Interpretation Guidelines for Autosomal STR Typing by Forensic DNA Testing
Laboratories to include probabilistic methods of interpretation. These recommendations are not
intended to be applied to the results of familial and other database searching. This document was
accepted by the membership of SWGDAM, received approval of the Executive Board of
SWGDAM on July 12, 2018, and is not intended to be applied retroactively.
1. REPORTING OF QUANTITATIVE AND QUALITATIVE STATEMENTS TO
CONVEY LIKELIHOOD RATIOS
Standard 11.2.6 of the Quality Assurance Standards for Forensic DNA Testing Laboratories
Recommendations of the SWGDAM Ad Hoc Working Group on
Genotyping Results Reported as Likelihood Ratios
(QAS) requires that casework reports include a quantitative or qualitative statement to convey
the results of DNA testing.
Recommendation 1.1: The numerical value for a likelihood ratio shall be reported as a
quantitative estimate of statistical weight for both Hp- and Hd-supporting proposition
pairs, with the exception of results deemed exclusionary as discussed in
Recommendation 2.1.
LRs >1 provide greater support for the prosecution proposition (Hp) than for the defense
proposition (Hd). LRs <1 may be reported as the reciprocal of the likelihood ratio to
indicate the degree of support for Hd relative to Hp. In this manner, a likelihood ratio of
0.01 (1/100), for example, would reflect the probability of the DNA evidence being 100
times more likely if the DNA originated from an unknown, unrelated individual (Hd) than
if it originated from the person of interest (Hp).
If likelihood ratios are calculated for different population groups (e.g., African American,
Caucasian, Hispanic) or are generated through replicate analysis, and only a single
likelihood ratio is to be reported, the lowest value should be used; however, all calculated
values must be maintained in the case notes. A likelihood ratio that combines
information from the different population groups (e.g., weighted averages of the
likelihoods) may be used in lieu of the single lowest value (Triggs et al., 2000).
Recommendation 1.2: A qualitative statement that conveys the degree of support
indicated by the likelihood ratio may be reported in addition to the numerical value for
the likelihood ratio. The qualitative statement, if provided, should be reported in
accordance with the verbal scale provided herein.
To aid the court or other laypersons in understanding evidential strength, Ian Evett (1987)
suggested a scale of verbal qualifiers to convey the degree of support for a given
proposition as related to the magnitude of the likelihood ratio. The scale categorized
likelihood ratio values as limited, moderate, strong and very strong in support of one
proposition relative to an alternative proposition. The use of a verbal scale is supported
across various disciplines of forensic science and has been adopted by the Association of
Forensic Science Providers (AFSP, 2009) and the European Network of Forensic Science
Institutes (ENFSI, 2015).
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Recommendations of the SWGDAM Ad Hoc Working Group on
Genotyping Results Reported as Likelihood Ratios
A verbal qualifier may be used to express
Table 1. Scale of verbal qualifiers for
the degree of support for a specified
reporting likelihood ratios
proposition relative to an alternative
proposition. It is intended to complement
LR for Hp Support
the expert’s opinion and should not be
and 1/LR for Hd
Verbal Qualifier
communicated without a numerical value
Support
for the likelihood ratio. When used in
1
Uninformative
reports and testimony by forensic analysts
within and among different laboratories,
2 – 99
Limited Support
the use of the same verbal scale promotes a
100 – 9,999
Moderate Support
consistent representation of evidential
weight. If a qualitative statement is
10,000 – 999,999
Strong Support
reported in conjunction with the likelihood
≥1,000,000
Very Strong Support
ratio, SWGDAM recommends the
likelihood ratio ranges and terms provided
in Table 1, adapted from published scales to reflect results from empirical testing (discussed
below) for usage with results from all likelihood ratios. As exemplified for a two-person
mixture, likelihood ratio results may be reported using the following quantitative and qualitative
statements demonstrating application of the SWGDAM verbal scale:
The DNA typing results for Item 1 are 23 billion times more likely if they originated from
SMITH and an unknown, unrelated individual than if they originated from two unknown,
unrelated individuals. This analysis provides very strong support for the proposition that
SMITH is a contributor to the DNA obtained from Item 1.
If a verbal qualifier is reported, the laboratory report should include the entire scale for
purposes of providing context to any numerical value and may include an explanation of
the scale, such as follows:
Equal (or nearly equal) support for both propositions results in a likelihood ratio
of 1, which is qualified as Uninformative. As likelihood ratios increase in
magnitude, the scale reflects stronger degrees of support. Likelihood ratios occur
on a continuum; the categories recommended here have been chosen in part based
on the observation that adventitious support for a proposition (e.g., LR >1 for an
individual whose DNA is not present in the sample; or LR <1 for an individual
whose DNA is present in the sample) is most commonly observed within the
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Recommendations of the SWGDAM Ad Hoc Working Group on
Genotyping Results Reported as Likelihood Ratios
Limited Support category and generally not expected within the Very Strong
Support category.
2. REPORTING AN EXCLUSION BASED ON LIKELIHOOD RATIOS THAT SUPPORT
THE DEFENSE PROPOSITION
Recommendation 2.1: A laboratory may establish a likelihood ratio value below which
an individual may be excluded as a possible contributor rather than reporting a
likelihood ratio value that supports the defense proposition.
Laboratories may adopt a level of support for Hd below which they conclude that the
analysis supports reporting an exclusion. The numerical value upon which such a
determination is based may be identified by the laboratory using data from internal
validation (described in the SWGDAM Guidelines for the Validation of Probabilistic
Genotyping Systems) or appropriate published studies of the sensitivity of a probabilistic
genotyping system. In these studies, failure to return support for Hp when evaluating a
true contributor to a mixture (e.g., low-level and/or partial profile) may occur merely due
to the detection limits of the typing system (e.g., STR amplification kit and/or capillary
electrophoresis instrument). With a sufficient dataset from low-level contributor testing,
such studies may be used to identify a likelihood ratio value below which the
preponderance of results correspond to true non-contributor testing; this value may be
used to establish an upper bound for declaring an exclusion. It is recommended that this
value be at most 1/100.
The likelihood ratio need not be reported for an exclusion, but the upper bound upon
which the determination is made should be specified in the report. All calculated values
must be maintained in the case notes.
3. REPORTING LIKELIHOOD RATIO VALUES THAT ARE CLOSE TO ONE
Recommendation 3.1: A likelihood ratio appropriately conveys the weight of the
evidence and should not be reported as inconclusive based on its magnitude.
As likelihood ratios approach 1, the support for a given proposition decreases, and the
probability of adventitious support for an incorrect proposition increases. However, with
the exception of results deemed exclusionary as discussed in Recommendation 2.1,
likelihood ratios appropriately express the strength of the evidence and should be
reported no matter how low or high the numerical value.
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Recommendations of the SWGDAM Ad Hoc Working Group on
Genotyping Results Reported as Likelihood Ratios
Numerical values in the Limited Support for Hp range are comparable to Random Match
Probabilities (RMPs) or Combined Probabilities of Inclusion (CPIs) that have been
reported irrespective of magnitude (e.g., 1 in 5 or 1 in 100) despite the possibility that a
non-contributor might not be excluded as a possible contributor to the evidence. As with
RMPs or CPIs, likelihood ratios should not be deemed inconclusive to mitigate a
potential risk of adventitious support.
Similarly, any analysis that provides Limited Support for Hd, no matter how close to 1,
should be reported as support for Hd rather than as inconclusive. Calculations performed
using different populations or replicate analyses that result in likelihood ratios supporting
opposing hypotheses (e.g., 10 supporting Hp and 0.1 supporting Hd) should not be
deemed inconclusive. If a single likelihood ratio is reported, the lowest value should be
used as in Recommendation 1.1.
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Recommendations of the SWGDAM Ad Hoc Working Group on
Genotyping Results Reported as Likelihood Ratios
REFERENCES:
Association of Forensic Science Providers (2009) Standards for the formulation of evaluative
forensic science expert opinion. Science and Justice 49:161–164.
Cook, R., Evett, I.W., Jackson, G., Jones, P.J., Lambert, J.A. (1998) A model for case assessment
and interpretation, Science and Justice 38:151–156.
European Network of Forensic Science Institutes (2016) ENFSI Guideline for Evaluative
Reporting in Forensic Science: Strengthening the Evaluation of Forensic Results across Europe
(STEOFRAE). Approved version 3.0. Accessed January 2, 2018 at: http://enfsi.eu/wpcontent/uploads/2016/09/m1_guideline.pdf
Evett, I.W., Jackson, G., Lambert, J.A., McCrossan, S. (2000) The impact of the principles of
evidence interpretation on the structure and content of statements, Science and Justice 40:233–
239.
Evett, I.W. (1987) Bayesian inference and forensic science: problems and perspectives. Journal
of the Royal Statistical Society, Series D 36:99–105.
Evett, I.W. (1998) Towards a uniform framework for reporting opinions in forensic science
casework. Science and Justice 38:198–202.
Federal Bureau of Investigation (2011) Quality Assurance Standards for Forensic DNA Testing
Laboratories. Effective 9/1/2011. Accessed January 2, 2018 at:
http://media.wix.com/ugd/4344b0_4a22824ce56f43d4b1a4d2486409f95d.pdf
Marquis, R., Biedermann, A., Cadola, L., Champod, C., Gueissaz, L., Massonnet, G., Mazzella,
W.D., Taroni, F., Hicks, T. (2016) Discussion on how to implement a verbal scale in a forensic
laboratory: Benefits, pitfalls and suggestions to avoid misunderstandings, Science and Justice
56:364–370.
Scientific Working Group on DNA Analysis Methods (2015) SWGDAM Guidelines for the
Validation of Probabilistic Genotyping Systems. Accessed January 2, 2018 at:
https://docs.wixstatic.com/ugd/4344b0_22776006b67c4a32a5ffc04fe3b56515.pdf
Triggs, C., Harbison, S.A., Buckleton, J. (2000) The calculation of DNA match probabilities in
mixed race populations, Science & Justice 40:33-38.
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